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NSITEXE, OTSL, Kyoto Microcomputer, AXELL, Collaborate to develop RISC-V based Reliable Edge AI platformAugust 30, 2022 -- NSITEXE, Inc. (Head Office: Minato-ku, Tokyo, President and CEO: Yukihide Niimi, hereinafter “NSITEXE”), in collaboration with OTSL Inc. (Head Office: Nagoya, Aichi, Japan; President: Shoji Hatano, hereinafter “OTSL”), Kyoto Microcomputer Co., Ltd. (Head Office: Kyoto, Kyoto; CEO: Shoichi Yamamoto; hereinafter1 “KMC”) and AXELL CORPORATION (Head Office: Chiyoda-ku, Tokyo, President: Akihiro Saito, hereinafter “AXELL”), will promote the development of a Reliable Edge AI platform for RISC-V based AI inference processing IP (AI IP). NSITEXE’s AI IP is a semiconductor IP that combines a MIMD vector processor (RISC-V Vector Extension Version 1.0 compliant) with a 2D Convolution Engine using a proprietary layer fusion architecture to execute a wide range of edge AI inference workloads with safely and power-efficiently. The Reliable Edge AI platform consists of deployment tools for converting and performance optimizing pre-trained neural network (NN) models for AI IP, and middleware for executing inference with high performance and safety. Using this platform, users can easily execute NN models developed on neural network frameworks such as TensorFlow and Pytorch on AI IP. The NN model deployment tool quantizes, layer fuses, and lightens pre-trained NN models to generate optimized graph structure source code. We will offer middleware such as performance-optimized NN model computing libraries and NN model execution control libraries, as well as a fast bare metal runtime thread scheduler (RTS) and a multitasking flexible RTOS-based runtime environment. We will contribute to the spread of AI in edge devices by providing an integrated development environment for building and debugging that is easy for embedded engineers to use. Reliable Edge AI Platform NSITEXE provides an environment for seamless deployment of models created on neural network frameworks and MATLAB/Simulink to AI IP. To address safety-critical systems that require real-time performance, a lightweight and fast runtime thread scheduler (RTS), Software Test Library for Functional Safety (STL for FuSa) that supports hardware fault diagnosis and network execution monitoring functions, and a performance-optimized RISC-V vector extension arithmetic library will be developed. OTSL will provide an RTOS that runs on RISC-V vector processors for the Reliable Edge AI platforms. This RTOS enables efficiently computing using RISC-V vector extension. KMC will provide LLVM/Clang compilers to maximize the performance of RISC-V vector processor on the Reliable Edge AI platform. This tool includes C/C++ Math libraries for RISC-V vector extension to enable efficiently computing on a vector processor. KMC’s JTAG debugger “PARTNER-Jet2” will support RISC-V vector processor on AI IP. AXELL provides an optimal AI execution environment for embedded systems based on advanced knowledge of AI implementation and optimization gained through the development of the AI framework (ailia SDK). We will also support customers in building AI systems with a wealth of pre-trained models and development assistance including applications. Comments from Hideki Sugimoto, CTO, NSITEXE Comments from Shoji Hatano, President, OTSL Corporation Comments from Shoichi Yamamoto, CEO, Kyoto Microcomputer Co., Ltd. Comments from Kazuki Kyakuno, Managing Director of Axel Corporation This development is partially funded by the results of work commissioned by New Energy and Industrial Technology Development Organization (NEDO). About NSITEXE NSITEXE is an IP vendor, established in 2017 as a spin-off from DENSO Corp., specializing in the development of advanced processors. The company develops RISC-V based processor IPs that support functional safety. Highly efficient, high-quality semiconductor IPs support a wide range of applications, contributing to the evolution of the next-generation semiconductor technology. About OTSL OTSL Inc. Information: https://www.otsl.jp/ About KMC Kyoto Microcomputer Co., Ltd. Information: https://www.kmckk.co.jp/eng/index.html About AXELL AXELL CORPORTION Information: https://www.axell.co.jp/
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